CN106053429B - Urine modified nucleoside determination method based on surface enhanced resonance raman spectra - Google Patents
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Abstract
The invention discloses a kind of urine modified nucleoside determination method based on surface enhanced resonance raman spectra technology, the method is to utilize one of phenylboric acid gel specific extraction normal person and cancer patient's urine tumor markers modified nucleoside, it is that enhancing matrix detects its SERRS signal with gold size, and urine modified nucleoside SERRS diagnosis identification model is established using PLS-DA algorithm is for statistical analysis, determine that urine modified nucleoside to be detected belongs to normal person or cancer patient using the model.Urine modified nucleoside surface enhanced resonance raman spectra data of the invention are analyzed through PLS-DA, and specificity reaches 96.9%, sensitivity 98.2%, accuracy 97.6%.The present invention has the characteristics that rapid, objective detection, can provide important references for diagnosis cancer of the esophagus.
Description
Technical field
The present invention relates to biomedical optical communities, and in particular to a kind of urine based on surface enhanced resonance raman spectra
Tumor markers modified nucleoside determination method, the gel chromatography post separation which is related to tumor markers mention
Pure mating surface enhancing resonance Raman spectroscopy (SERRS) detection method and multivariate statistical analysis method.
Background technique
Nucleosides is the metabolite of body RNA, in RNA metabolism, generates free normal nucleotide and modified nucleoside.Normally
Nucleosides can be re-used and generate nucleic acid, therefore seldom be discharged from urine；And modified nucleoside is due to lacking corresponding kinases,
It cannot be re-used by body, thus major part is excreted with urine, so the discharge capacity of modified nucleoside can reflect in urine
The accretion rate of body cell.Modified nucleoside discharge capacity varies less in health adult's urine, shows that body has essence to RNA metabolism
Thin adjusting.The proliferation of tumour cell is accelerated compared with normal cell, and the generation of modified nucleoside and discharge is caused to increase, thus modifies core
Glycosides becomes a kind of tumor marker and is widely used in medical diagnosis research.
Gel chromatography column technology is a kind of quick and simple separate analytical technique that early sixties grow up, by
It is simple and convenient to operate in equipment, does not need organic solvent, have very high separating effect to macromolecular and polymer substance.Mesh
It is preceding to be widely used by the related field such as biochemistry, molecular biology, biotechnology, molecular immunology and medicine,
Not only it is applied to scientific experiment to study, and is used for industrial production on a large scale.The present invention will be excellent using chromatographic column
Separating property extracts tumor markers modified nucleoside from urine, and mating surface enhancing resonance Raman spectroscopy technology is detected
Analysis.
Raman spectroscopy is one of the standard technique of article identification and Molecular Detection, but normal Raman spectrum has drawing
Graceful spectral signal is weak, and is easy the shortcomings that being interfered by autofluorescence, and Surface enhanced Raman spectroscopy (SERS) detection is using tested
It surveys molecule to adsorb with certain surfaces metal (such as Au, Ag, Cu and Pt) with nanoscale rough degree, by these molecules
Raman scattering intensities increase by 104-1015Times, and autofluorescence signal can be effectively inhibited, it is a kind of better than normal Raman spectrum
Novel objective, quick nondestructive the detection method of detection, it would be possible to which the speed and accuracy for improving diagnosis for doctor is brought greatly
It helps.SERS technology has the advantages that spatial resolution is high, high sensitivity, the information content is enriched, and is widely used to substance mirror
In the fields such as fixed and molecular structure detection.And surface enhanced resonance raman spectra (SERRS) technology had both had common SERS spectra
Advantage, while also being resonated using realization surface plasma element between the exciting light and detected object of special wave band, Neng Goujin
The detection sensitivity of one step raising spectrum.
Domestic and foreign scholars, which detect urine, at present mainly directly carries out Raman spectrum inspection for the urine sample of acquirement
Analysis is surveyed, but the comparison of ingredients in urine is complicated, disturbing factor is more, so being difficult to obtain ideal detection effect.
Summary of the invention
Present invention aims at for deficiency problem present in the analysis of current urine Surface enhanced Raman spectroscopy, one is provided
Urine tumor markers modified nucleoside determination method of the kind based on surface enhanced resonance raman spectra, to distinguish normal health
People and cancer patient's urine modified nucleoside SERRS spectrum provide a kind of rapid, objective appraisal standard.This method is specifically to utilize
Boric acid gel chromatographic column elder generation extraction purification goes out the tumor markers modified nucleoside in normal person and cancer patient's urine, then with nanometer
Aurosol is enhancing matrix and is 785nm laser as excitation light detection tumor markers surface-enhanced resonance raman using wavelength
Spectrum (SERRS) signal, and the method tested and analyzed in conjunction with statistical analysis technique.
To achieve the goals above, the invention adopts the following technical scheme:
A kind of urine modified nucleoside determination method based on surface enhanced resonance raman spectra, comprising the following steps:
(1) urine specimen is taken to carry out centrifugal treating, the urine specimen includes normal group and abnormal group, and normal group is health
The urine specimen of people, abnormal group are the urine specimen of cancer patient, are extracted in urine specimen using phenylboric acid gel chromatographic columns
Tumor markers modified nucleoside, obtain normal group and abnormal group urine modified nucleoside；
(2) normal group and abnormal group urine modified nucleoside are uniformly mixed to obtain respectively with aurosol in equal volume normally organize and
Abnormal group compound sample, sample to be mixed is 4oC carries out urine modified nucleoside surface enhanced resonance raman spectra after drying out naturally
Measurement obtains normal group and abnormal group urine modified nucleoside surface enhanced resonance raman spectra data respectively；
(3) urine modified nucleoside surface enhanced resonance raman spectra data are organized according to the normal group and exception of above-mentioned acquisition,
It is established using Partial Least Squares and Fisher face for differentiating that urine modified nucleoside belongs to Healthy People or belongs to cancer
The urine modified nucleoside surface enhanced resonance raman spectra of patient diagnoses identification model；
(4) urine specimen for taking person to be detected obtains urine modified nucleoside to be detected according to step (1) and the method for (2)
Surface enhanced resonance raman spectra data substitute into step after being analyzed using Partial Least Squares and Fisher face
(3) the diagnosis identification model established, differentiates that urine modified nucleoside to be detected belongs to Healthy People or belongs to cancer patient.
Further, urine modified nucleoside is added dropwise with the compound sample that aurosol forms in purity the step (2) is
It on 99.99% sheet metal, is detected using 785nm laser excitation and obtains urine modified nucleoside surface enhanced resonance raman spectra, drawn
The spectral limit that takes of graceful spectrum is 500-1800cm-1Wave-number range.
The urine specimen of the step (1) is by following pretreatment: the empty stomach human urine overnight between morning 7-8 point is taken,
After urine is centrifuged, collects upper layer and clarify urine.
Pretreated urine extracts urine modified nucleoside as follows:
Phenylboric acid gel is formed into affinity chromatographic column in glass chromatography column, is with 30-35 mL molar concentration
The ammonium acetate of 0.25mol/L carries out once washing to gel, and gel is activated and is balanced, and the pH of the ammonium acetate is 8.5；
The clarification urine upper prop for taking 1mL centrifugal treating to cross, the acetic acid for being then 0.25mol/L with 20-25mL molar concentration
Ammonium, 3-4mL methanol aqueous solution (volume ratio 1:1) carry out secondary washing to gel；
It is finally eluted with the methanol aqueous solution (volume ratio 1:1) of 25mL formic acid containing 0.1mol/L, collects eluent simultaneously
It is concentrated by evaporation to 1mL, obtains urine modified nucleoside.
Further, the preparation method of the aurosol is specific as follows: according to volume ratio 1:9 by 1 × 10-3The gold chloride of g/mL
Solution is added to the water, and stirs evenly and is heated to boiling, and is then quickly added into the citric acid three sodium solution that mass concentration is 1%, institute
The addition volume for stating citric acid three sodium solution is the 10% of chlorauric acid solution, continues heating stirring and obtains claret aurosol, to gold
Centrifugal treating is carried out after colloidal sol is cooling, supernatant is abandoned, collects the aurosol of lower layer's concentration.
The present invention carries out urine modified nucleoside to differentiate that detection must be realized by a diagnostic model, it is therefore desirable to build
Vertical urine modified nucleoside SERRS spectroscopic diagnostics identification model judges that urine modified nucleoside belongs to normal person or belongs to cancer trouble in turn
Person.Before establishing spectral matching factor diagnostic data base model, first area normalization is carried out by the SERRS spectrum to urine modified nucleoside
Change processing to remove influence caused by experiment test condition fine difference.In modeling, it is contemplated that existing between different patients
Some individual differences, it is statistical to guarantee, it is necessary to acquire enough quantity and diagnose a disease really SERRS spectrum, establish spectrum number
According to library.Identifying human urine modified nucleoside is the surface enhanced resonance raman spectra identification model of normal person or cancer patient by true
The urine modified nucleoside Surface enhanced Raman spectroscopy database of example of diagnosing a disease and Healthy People composition.On the basis for setting up database
On, using Partial Least Squares (PLS) and Fisher face (LDA), provide to human urine nucleosides table normal in database
The best identified mode of face enhancing resonance Raman spectroscopy and cancer patient's urine nucleosides Surface enhanced Raman spectroscopy.And implementation pattern
The threshold condition of identification becomes conditions for diagnostics.
The foundation of SERRS spectroscopic diagnostics identification model of the present invention is using Partial Least Squares and linear discriminant analysis (PLS-
DA the algorithm) combined.Partial Least Squares (PLS) is a kind of novel, efficient multivariate statistics data analysing method, Neng Goushi
Show multivariate response to the regression modeling method of more independents variable, and can be realized simultaneously regression modeling, data structure simplification and two
Correlation analysis between group variable.Partial Least Squares, which can preferably solve common principal component analysis (PCA), to be solved
The problem of.It is using the method all decomposed to variable X and Y, extract component (or being the factor) simultaneously from variable X and Y,
The Raman spectrum data of higher-dimension is subjected to dimension-reduction treatment with this method, then by the factor according to the correlation between them from big
To minispread.Linear discriminant analysis (LDA) is that the low-dimensional feature of most discriminating power is extracted in high-dimensional feature space, this
A little features can help as far as possible to flock together the other all samples of same class, and different classes of sample is separated as far as possible.PLS and
LDA respectively possesses some good points, they catch different statistical natures, suitable for different concrete conditions, so the present invention by PLS with
Two kinds of algorithms of LDA are combined and are very important.
When the present invention establishes diagnosis identification model, the specific algorithm of PLS-DA is as follows:
1. normal group and abnormal group urine modified nucleoside surface enhanced resonance raman spectra are utilized higher order polynomial first
Fluorescence background interference is eliminated in fitting；；
2. the normal group and abnormal group urine modified nucleoside surface-enhanced resonance raman of having eliminated fluorescence background interference
Spectrum is normalized to eliminate experimental system error；
3. using Matlab software by 1., 2. processed normal group and abnormal group urine modified nucleoside surface increase
Strong resonance Raman spectrum carries out Partial Least Squares modeling analysis；
4. utilizing T test on the basis of 3., selection most has first three offset minimum binary of significant difference that must be allocated as
For principal component, discriminant analysis then is carried out using Fisher face to these three principal components, from the defeated of linear discriminant analysis
Posterior probability P value corresponding to normally group and each sample organized extremely is obtained in result out, each sample is obtained and corresponds to posteriority
The scatter diagram of probability, and determine normally group and abnormal group urine modified nucleoside surface enhanced resonance raman spectra differentiation
Posterior probability, i.e. threshold value.
Application of the diagnosis identification model of the present invention in clinical diagnosis is as follows: taking the urine specimen of person to be detected, presses
Urine modified nucleoside is extracted according to preceding method, the SERRS spectrum of person to be detected is then measured, will test the SERRS spectrum of acquisition
Substitute into the present invention establish urine modified nucleoside surface enhanced resonance raman spectra diagnosis identification model, according to conditions for diagnostics come pair
Urine modified nucleoside carries out cancer and the pattern discrimination of normal person is analyzed, and then realizes the diagnosis of SERRS spectrum,
The invention adopts the above technical scheme, using gold nanoparticle as enhancing substrate and using 785nm laser as sharp
Luminous surface enhanced resonance raman spectra technology carries out SERRS spectral detection point to the tumor markers modified nucleoside in urine
Analysis has no that pertinent literature is reported so far.This method carries out centrifugal treating, removal to normal person and cancer patient's urine respectively
Precipitating takes supernatant liquor, and is extracted with gel affinity chromatographic column, the modified nucleoside in purifying urine, is drawn using surface enhanced resonant
Graceful spectrum (SERRS) is detection means, by realizing the quick detection to cancer patient to urine nucleosides SERRS spectrum analysis
Identification.It is 1h the time required to the extraction and sample pretreatment process of urine modified nucleoside of the present invention, the spectral detection time is only 10
Second, possess simple and quick, highly reliable advantage.Meanwhile SERRS technology (is enhancing matrix with nano gold sol and utilizes wave
A length of 785nm laser is as exciting light) make sample be achieved with extremely strong raman spectral signal under very low laser power,
Spectral signal is reproducible, avoids high power laser light to the damage phenomenon of biomolecule.According to the normal person of acquisition and cancer
The urine modified nucleoside surface enhanced resonance raman spectra of patient establishes urine modified nucleoside SERRS spectra database, using more
Statistics of variable analysis method provides one kind rapidly to distinguish normal healthy people and cancer patient's urine modified nucleoside SERRS spectrum,
Objective appraisal standard.
Urine modified nucleoside surface enhanced resonance raman spectra database of the present invention include 32 normal human urine nucleosides with
55 cancers of the esophagus make a definite diagnosis patient urine nucleosides Surface enhanced Raman spectroscopy, urine modified nucleoside surface enhanced resonance raman spectra number
It is analyzed according to through PLS-DA, specificity reaches 96.9%, sensitivity 98.2%, accuracy 97.6%.
The substitute of the urine modified nucleoside can be urine, blood, saliva, sperm, tissue homogenate in it is other
Tumor types marker.
Detailed description of the invention
Below in conjunction with the drawings and specific embodiments, the present invention is described in detail:
Fig. 1 is nano gold sol, urine modified nucleoside and nano gold sol-modified nucleoside mixture absorption spectrum
Figure；
Fig. 2 is normal person and cancer patient's urine modified nucleoside be averaged SERRS spectrum and poor spectrum；
Fig. 3 is SERRS spectroscopic diagnostics result of the present invention to embodiment 1；
Fig. 4 is SERRS spectroscopic diagnostics result of the present invention to embodiment 2；
Fig. 3 and Fig. 4 is esophageal cancer patients urine modified nucleoside region, at straight line P=0.5 above straight line P=0.5
Side, is normal human urine nucleosides region.
Specific embodiment
The informed consent that case has all obtained sufferer in advance is embodied in the present invention.Specific implementation details of the invention illustrate
It is as follows:
(1) pretreatment of urine sample
The empty stomach human urine overnight for taking normal person (32 people) and cancer patient (55 people) between 7. -8 point of morning, by urine
It is put into centrifuge to be centrifuged, setting speed is 10000 revs/min, is centrifuged 10 minutes.Lower sediment is abandoned, takes upper layer clear
Clear urine.Obtain abnormal group (cancer of the esophagus urine) and normal group (normal health human urine) respectively using this method.
(2) extraction of urine modified nucleoside
By phenylboric acid gel, composition affinity chromatographic column extracts urine in glass chromatography column, and gel passes through 35ml
The ammonium acetate (pH 8.5) of 0.25mol/L is activated and is balanced, the urine upper prop that 1ml centrifugal treating is crossed.Then 20ml is utilized
The ammonium acetate of 0.25mol/L, 3ml methanol aqueous solution (volume ratio 1:1) carry out secondary washing to gel, are contained by 25ml
The methanol aqueous solution (volume ratio 1:1) of 0.1mol/L formic acid elutes nucleosides, and eluent is concentrated by evaporation to 1ml, urine is obtained
Modified nucleoside, for use.
(3) aurosol is pre-prepared
By 10ml chlorauric acid solution (1 × 10-3G/mL it) is added to uniform stirring in 90ml pure water to be heated to boiling, then fastly
The citric acid three sodium solution (1%) of 1 ml is added in speed, continues to obtain claret aurosol in heating stirring 15 minutes.It is cold to aurosol
But it is centrifuged 10 minutes with supercentrifuge afterwards, setting speed is 15000 revs/min, is layered gold size, supernatant is abandoned, take
The aurosol of lower layer's concentration is protected from light at room temperature to be sealed up for safekeeping, for use.
(4) aurosol-urine modified nucleoside mixed liquor preparation
Each 50 μ L of each sample urine modified nucleoside sample is taken out from normal group (normal healthy people) with liquid-transfering gun, warp is added
It crosses in the test tube of Aseptic sterilisation processing, and the high concentration aurosol after the centrifugation previously prepared is added into test tube with liquid-transfering gun is each
50μL.Glycosides mixed solution is sufficiently stirred, and is uniformly mixed urine modified nucleoside as far as possible with aurosol, and it is molten that normal group gold is made
Glue-urine modified nucleoside mixed solution.
Abnormal group of (cancer patient) aurosol-urine nucleosides mixed solution is made using same method.
(5) surface enhanced resonance raman spectra test sample process
The aurosol mixed-urine modified nucleoside mixed liquor is moved on high purity metal sample stage with liquid-transfering gun, from
It so dries, the Surface enhanced Raman spectroscopy of urine nucleosides, emphasis inspection is obtained using confocal Raman microscopy test sample
Survey 600-1730cm-1Wave-number range.Set measurement parameter: time of integration 10s, excitation wavelength 785nm, excitation light power 5mw.Such as
Shown in Fig. 1, the laser of 785nm wavelength is located just at the surface plasma resonance absorbtion peak position of nanogold Yu modified nucleoside mixture
It sets, so 785nm near-infrared laser can inspire strong SERRS spectral signal.The present embodiment test object includes 32
Normal human urine nucleosides and 55 cancers make a definite diagnosis patient urine modified nucleoside Surface enhanced Raman spectroscopy.
(6) it establishes and differentiates that the surface enhanced resonance raman spectra of normal person and esophageal cancer patients urine modified nucleoside diagnose knowledge
Other model
Differentiate that detection must be realized by a diagnostic model to urine modified nucleoside, therefore we need to build
Vertical urine modified nucleoside SERRS spectroscopic diagnostics identification model, and then judge that urine modified nucleoside belongs to normal person or belongs to cancer
Patient, the identification model are made of the urine modified nucleoside Surface enhanced Raman spectroscopy database of confirmed cases and Healthy People.?
On the basis of setting up database, using Partial Least Squares (PLS) and Fisher face (LDA), provide to database
In normal human urine nucleosides surface enhanced resonance raman spectra and esophageal cancer patients urine nucleosides Surface enhanced Raman spectroscopy most
Good recognition mode, and the threshold condition of implementation pattern identification becomes conditions for diagnostics.
It is the calculating process that the present embodiment utilizes PLS-DA algorithm below:
1. normal group of (32 normal persons) urine modified nucleoside SERRS spectrum and abnormal group, (55 cancers of the esophagus are suffered from first
Person) urine modified nucleoside SERRS spectrum using higher order polynomial-fitting eliminate fluorescence background interfere；；
2. the normal group for having eliminated fluorescence background interference and the every urine modified nucleoside SERRS spectrum organized extremely
It is normalized to eliminate experimental system error；
3. calculating principal component LV1, LV2, LV3 using PLS canonical algorithm to every urine modified nucleoside SERRS spectrum；
4. principal component LV1, LV2, LV3 are carried out LDA discriminant analysis, can finally be obtained from the output result that LDA is analyzed
To posterior probability P value corresponding to each sample, the scatter diagram that each sample corresponds to posterior probability is obtained.
5. the Posterior probability distribution of 32 normal persons and 55 esophageal cancer patients' urine modified nucleoside SERRS spectrum is this
The measurement of invention analyze as a result, can be provided for doctor diagnosis according to.The present invention is calculated by LDA, is determined normal person and food
The best straight line that road cancer Urine in Patients nucleosides surface enhanced resonance raman spectra distinguishes diagnosis is posterior probability P=0.5.At this moment should
Equation effectively define posterior probability and sample array at two-dimensional coordinate plane on, this straight line is by normal human urine core
The distribution of glycosides point set is distributed with esophageal cancer patients urine nucleosides point set effectively to be separated to get up.This straight line, which is equal to, sets a threshold
Value, this threshold value is exactly conditions for diagnostics.
In clinical concrete application, the urine modified nucleoside of patient is extracted, by the urine modified nucleoside surface enhanced of patient
Resonance Raman spectroscopy data calculate posterior probability using PLS-DA algorithm, by the posterior probability and threshold value comparison, differentiate disease
The urine modified nucleoside of people belongs to Healthy People or belongs to cancer patient, realizes quick, the lossless inspection to Urine in Patients modified nucleoside
It surveys.
Clinical application example 1
Liao XX, male, 52 years old, pathological diagnosis was that medullary senior middle school breaks up squamous cell carcinoma, and cancerous tissue involves holostrome, intravascular
It can be seen that cancer embolus, is by stages T4, N1, Mx, double blind detection is carried out using the present invention, using PLS-DA model, calculates patient urine
The posterior probability P=0.845 of liquid modified nucleoside SERRS spectrum, calculated result show that the patient is judged as esophageal cancer patients.Figure
3 be the diagnostic result of application examples 1, after showing that the urine modified nucleoside Surface enhanced Raman spectroscopy of each sample is corresponding in figure
Probability is tested, circular point represents esophageal cancer patients in figure, and the point of triangled tip shape represents normal healthy people, and square point represents
Patient to be identified.
In Fig. 3, the urine modified nucleoside SERRS spectrum of normal healthy people and esophageal cancer patients constitutes diagnosis of the invention
Identification model, which, which determines, distinguishes diagnosis for normal person and esophageal cancer patients urine nucleosides surface enhanced resonance raman spectra
Best straight line is posterior probability P=0.5.It is esophageal cancer patients urine modified nucleoside region, in straight line above straight line P=0.5
It is normal human urine nucleosides region below P=0.5.
The application example is extracted the urine modified nucleoside of patient and measures its SERRS spectrum, and calculating posterior probability is P=
0.845, it can determine whether that the patient is cancer patient by diagnosis identification model.
Clinical application example 2
Zou XX, male, 61 years old, pathological diagnosis was well-differentiated squamous carcinoma in fungoid, and cancerous tissue involves muscle layer, in vascular
See cancer embolus, be by stages T2, N0, MX, double blind detection is carried out using the present invention and calculates the patient urine using PLS-DA model
The posterior probability P=0.904 of modified nucleoside SERRS spectrum, calculated result show that the patient has suffered from cancer really.Fig. 4 is
The diagnostic result of application examples 2 shows the corresponding posteriority of urine modified nucleoside Surface enhanced Raman spectroscopy of each sample in figure
Probability, circular point represents esophageal cancer patients in figure, and the point of triangled tip shape represents normal healthy people, square point represent to
Identify patient.
Claims (8)
1. a kind of method for building up of the urine modified nucleoside diagnosis identification model based on surface enhanced resonance raman spectra, feature
It is: the described method comprises the following steps:
(1) urine specimen is taken to carry out centrifugal treating, the urine specimen includes normal group and abnormal group, and normal group is Healthy People
Urine specimen, abnormal group are the urine specimen of cancer patient, are extracted using phenylboric acid gel chromatographic columns swollen in urine specimen
Tumor markers modified nucleoside obtains normal group and abnormal group urine modified nucleoside；
(2) it is uniformly mixed normal group and abnormal group urine modified nucleoside to obtain normal group and exception in equal volume with aurosol respectively
Group compound sample, sample to be mixed carry out the measurement of urine modified nucleoside surface enhanced resonance raman spectra after drying out naturally, respectively
Obtain normal group and abnormal group urine modified nucleoside surface enhanced resonance raman spectra data；
(3) it according to the normal group of above-mentioned acquisition and abnormal group urine modified nucleoside surface enhanced resonance raman spectra data, utilizes
Partial Least Squares and Fisher face are established for differentiating that urine modified nucleoside belongs to Healthy People or belongs to cancer patient
Urine modified nucleoside surface enhanced resonance raman spectra diagnose identification model.
2. a kind of urine modified nucleoside diagnosis identification mould based on surface enhanced resonance raman spectra according to claim 1
The method for building up of type, it is characterised in that: the compound sample that urine modified nucleoside and aurosol form is added dropwise the step (2)
On the sheet metal that purity is 99.99%, is detected using 785nm laser excitation and obtain urine modified nucleoside surface-enhanced resonance raman
The spectral limit that takes of spectrum, Raman spectrum is 500-1800cm-1Wave-number range.
3. a kind of urine modified nucleoside diagnosis identification mould based on surface enhanced resonance raman spectra according to claim 1
The method for building up of type, it is characterised in that: the urine specimen of the step (1) is by following pretreatment: take between morning 7-8 point every
Night sky abdomen human urine after being centrifuged urine, collects upper layer and clarifies urine.
4. a kind of urine modified nucleoside diagnosis identification mould based on surface enhanced resonance raman spectra according to claim 3
The method for building up of type, it is characterised in that: the extracting method of urine modified nucleoside is as follows:
Phenylboric acid gel is formed into affinity chromatographic column in glass chromatography column, is 0.25mol/ with 30-35 mL molar concentration
The ammonium acetate of L carries out once washing to gel, and gel is activated and is balanced, and the pH of the ammonium acetate is 8.5；
The clarification urine upper prop for taking 1mL centrifugal treating to cross, then with 20-25mL molar concentration be 0.25mol/L ammonium acetate, 3-
4mL methanol aqueous solution carries out secondary washing to gel；
It is finally eluted, collect eluent and is concentrated by evaporation to 1mL with the methanol aqueous solution of 25mL formic acid containing 0.1mol/L, obtained
To urine modified nucleoside.
5. a kind of urine modified nucleoside diagnosis identification mould based on surface enhanced resonance raman spectra according to claim 1
The method for building up of type, it is characterised in that: the aurosol of the step (2) is that chlorauric acid solution, preparation are restored with trisodium citrate
Aurosol.
6. a kind of urine modified nucleoside diagnosis identification mould based on surface enhanced resonance raman spectra according to claim 5
The method for building up of type, it is characterised in that: the preparation method of the aurosol is specific as follows: according to volume ratio 1:9 by 1 × 10-3g/
The chlorauric acid solution of mL is added to the water, and stirs evenly and is heated to boiling, and is then quickly added into the citric acid that mass concentration is 1%
Three sodium solutions, the addition volume of the citric acid three sodium solution are the 10% of chlorauric acid solution, continue heating stirring and obtain claret
Aurosol carries out centrifugal treating after aurosol is cooling, supernatant is abandoned, collects the aurosol of lower layer's concentration.
7. a kind of urine modified nucleoside diagnosis identification mould based on surface enhanced resonance raman spectra according to claim 1
The method for building up of type, it is characterised in that: the step (3), which establishes diagnosis identification model, to be carried out using the database of step (2)
Statistical analysis, the statistical analysis carries out differentiation calculating using Partial Least Squares and in conjunction with Fisher face, specific
Algorithm is as follows:
1. normal group and abnormal group urine modified nucleoside surface enhanced resonance raman spectra are utilized higher order polynomial-fitting first
Eliminate fluorescence background interference；
2. the normal group and abnormal group urine modified nucleoside surface enhanced resonance raman spectra of having eliminated fluorescence background interference
It is normalized to eliminate experimental system error；
3. using Matlab software by 1., 2. processed normal group and abnormal group urine modified nucleoside surface enhanced are total to
The Raman spectrum that shakes carries out Partial Least Squares modeling analysis；
4. utilizing T test on the basis of 3., select most have first three offset minimum binary score of significant difference as master
Then ingredient carries out discriminant analysis using Fisher face to these three principal components, from the output knot of linear discriminant analysis
Posterior probability P value corresponding to normally group and each sample organized extremely is obtained in fruit, is obtained each sample and is corresponded to posterior probability
Scatter diagram, and determine the posteriority for distinguishing normal group with abnormal group urine modified nucleoside surface enhanced resonance raman spectra
Probability, i.e. threshold value.
8. a kind of urine modified nucleoside diagnosis identification mould based on surface enhanced resonance raman spectra according to claim 1
The method for building up of type, it is characterised in that: the substitute of the urine modified nucleoside is that urine, blood, saliva, sperm or tissue are even
Tumor markers in slurry.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610365125.3A CN106053429B (en) | 2016-05-27 | 2016-05-27 | Urine modified nucleoside determination method based on surface enhanced resonance raman spectra |
| PCT/CN2016/099170 WO2017201924A1 (en) | 2016-05-27 | 2016-09-18 | Detection and analysis method for urine-modified nucleoside based on surface enhanced resonant raman spectrum |
| US16/304,691 US10935495B2 (en) | 2016-05-27 | 2016-09-18 | Detection and analysis method for urine-modified nucleoside based on surface-enhanced resonance Raman spectroscopy |
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